Ophthalmic imaging has become an essential component in the diagnosis, monitoring, and management of various eye conditions, leveraging non-invasive techniques to produce detailed visualizations of ocular structures. Techniques such as Optical Coherence Tomography (OCT) and Adaptive Optics (AO) have considerably advanced the field by providing high-resolution images that are instrumental in detecting subtle anatomical features and disease markers. However, there is a growing interest in combining these imaging technologies with artificial intelligence (AI) to further refine diagnostic capabilities, enhance personalized medicine, and uncover links between ocular health and systemic health that were previously overlooked. Despite these advances, gaps remain in seamlessly integrating these novel methods into mainstream clinical practice.

This Research Topic aims to investigate the most current and emerging advances in ophthalmic imaging technologies, focusing on their role in increasing diagnostic accuracy and facilitating early detection of diseases, such as glaucoma and diabetic retinopathy. Additionally, the use of AI to enhance imaging techniques is anticipated to yield richer, more objective datasets, which will not only improve the monitoring of existing treatments but also aid in the development of new therapeutic modalities. The goal is also to explore the potential of remote imaging technologies and AI-enabled diagnostics to provide greater access to eye care services, even for underserved populations.

To gather further insights and push the boundaries of this research field, we welcome articles addressing, but not limited to, the following themes:
- Innovations in ophthalmic imaging methods such as OCT, fundus photography, and Optical Coherence Tomography Angiography (OCTA).
- Advanced imaging techniques involving AI, such as Transscleral Optical Phase Imaging (TOPI).
- Development and application of new hardware, acquisition protocols, and analytic methods for enhanced imaging.
- Application-driven studies where imaging technologies lead to novel clinical or biological insights.
- Validation of imaging techniques in human studies and preclinical models, including mice, rats, zebrafish, and non-human primates.

Submissions may include Original Research, Methods/Technical Notes, Reviews, Brief Reports, or Data/Benchmark articles, with an emphasis on rigor, external validation, and the provision of open resources.

Topic editor Dr Cavit Agca is employed by Virscio. The other Topic Editors report no competing interests related to this Research Topic.

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Innovations in Ophthalmic Imaging - Novel Techniques and Applications